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Improving translation quality stability using Bayesian predictive adaptation

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Improving translation quality stability using Bayesian predictive adaptation

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Sanchis Trilles, G.; Casacuberta Nolla, F. (2015). Improving translation quality stability using Bayesian predictive adaptation. Computer Speech and Language. 34(1):1-17. doi:10.1016/j.csl.2015.03.001

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/63537

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Title: Improving translation quality stability using Bayesian predictive adaptation
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
[EN] We introduce a Bayesian approach for the adaptation of the log-linear weights present in state-of-the-art statistical machine translation systems. Typically, these weights are estimated by optimising a given translation ...[+]
Subjects: Bayesian method , Adaptation , Natural language processing , Machine translation
Copyrigths: Reserva de todos los derechos
Source:
Computer Speech and Language. (issn: 0885-2308 )
DOI: 10.1016/j.csl.2015.03.001
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.csl.2015.03.001
Project ID: info:eu-repo/grantAgreement/EC/FP7/287576/EU
Thanks:
The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement Nr. 287576 (CasMaCat). Also funded by the Generalitat Valenciana under ...[+]
Type: Artículo

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